gss package - predict.ssanova
Chong Gu wrote:
Here is the information about this objects.
> recs.spliney
Call:
ssanova(formula = recs.mds[[1]][, 2] ~ recs.loc$x * recs.loc$y, type = "tp")
Terms:
[1] "1" "recs.loc$x" "recs.loc$y"
[4] "recs.loc$x:recs.loc$y"
Number of fixed and random effects:
Fixed Random
1 1 0
recs.loc$x 1 1
recs.loc$y 1 1
recs.loc$x:recs.loc$y 1 3
total 4 5
Smoothing parameters are selected by GCV.
> is.data.frame(recn.grid)
[1] TRUE
> names(recn.grid)
[1] "x" "y" Regards EJ The variables in the fit are "recs.loc$x" and "recs.loc$y", but the variables in recn.grid are "x" and "y". BTW, are recs.loc$x and recs.loc$y the x-y coordinate of geographic locations? If the answer is yes, then you probably want to enter it as a single variable with two columns. What you are now doing appears to fit a tensor product spline.
Thanks I'll take a look at what you're saying. Tomorrow there will be news :-) Regards EJ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._